About the role:
As a Cloud Data Migration Lead, you will make an impact by leading large-scale data modernization initiatives and driving the migration of legacy SAS-based data platforms to cloud-native AWS and PySpark solutions. You will be a valued member of the Data Engineering team and work collaboratively with architects, data engineers, business stakeholders, project leadership, and global delivery teams to deliver scalable, secure, and high-quality data solutions.
In this role, you will:
Lead the assessment, planning, and migration of legacy SAS programs, datasets, macros, and ETL workflows to AWS-based data platforms.
Define migration strategies, standards, and best practices for converting SAS workloads into PySpark and AWS Glue solutions.
Partner with data architects and engineering teams to design scalable cloud data lake and integration architectures.
Establish data validation, reconciliation, and quality frameworks to ensure accuracy, compliance, and successful migration outcomes.
Provide technical leadership, mentoring, and governance to data engineers, ETL developers, architects, and QA teams throughout the migration lifecycle.
Work model:
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered:
Extensive experience in data warehousing, ETL development, and enterprise data integration.
Strong hands-on experience with SAS, PySpark, and AWS Glue.
Proven experience leading cloud data migration and modernization programs.
Strong expertise with AWS services including S3, Glue, Lambda, IAM, CloudWatch, and Athena.
Advanced SQL, data modeling, and data transformation skills.
Experience implementing data quality, reconciliation, governance, and migration frameworks.
Experience with CI/CD pipelines and DevOps practices.
Demonstrated ability to lead technical teams and collaborate with business and technology stakeholders.
Strong communication, presentation, and stakeholder management skills.
These will help you stand out:
Experience with Amazon Redshift.
Previous experience leading SAS-to-PySpark migration initiatives at enterprise scale.
Experience designing and implementing cloud-native data lake architectures.
Expertise in performance tuning and optimization of PySpark workloads.
Experience working with global delivery teams and vendor partners in complex transformation programs.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Salary and Other Compensation:
Applications will be accepted until October 27, 2026.
The annual salary for this position is between $ 100,000 - $ 117,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.
